A structured approach to query recommendation with social annotation data

International Conference on Information and Knowledge Management, Proceedings

Volumn , Issue , 2010, Pages 619-628

  Guo, Jiafeng ^a   Cheng, Xueqi ^a   Xu, Gu ^b   Shen, Hua Wei ^a  

^a INSTITUTE OF COMPUTING TECHNOLOGY   (China)

^b MICROSOFT RESEARCH ASIA   (China)

Author keywords

Exploratory interests; Query recommendation; Search interests; Social annotation data; Structured approach

Indexed keywords

EXPLORATORY INTERESTS; QUERY RECOMMENDATIONS; SEARCH INTERESTS; SOCIAL ANNOTATION DATA; STRUCTURED APPROACH;

KNOWLEDGE MANAGEMENT; SEARCH ENGINES; WORLD WIDE WEB;

QUERY PROCESSING;

EID: 78651338729     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1871437.1871518     Document Type: Conference Paper

References (29)

1. E. Agichtein, S. Lawrence, and L. Gravano. Learning search engine specific query transformations for question answering. In WWW '01, pages 169-178, New York, NY, USA, 2001. ACM.
2. R. Baeza-Yates, C. Hurtado, and M. Mendoza. Query recommendation using query logs in search engines. In Current Trends in Database Technology - EDBT 2004 Workshops, pages 588-596, 2005.
3. D. Beeferman and A. Berger. Agglomerative clustering of a search engine query log. In KDD '00, pages 407-416, New York, NY, USA, 2000. ACM.
4. V. D. Blondel, J.-L. Guillaume, R. Lambiotte, and E. Lefebvre. Fast unfolding of communities in large networks. Journal of Statistical Mechanics, page P10008, 2008.
5. P. Boldi, F. Bonchi, C. Castillo, D. Donato, and S. Vigna. Query suggestions using query-flow graphs. In WSCD '09. pages 56-63, New York, NY, USA, 2009. ACM.
6. U. Brandes, M. Gaertler, and D. Wagner. Experiments on graph clustering algorithms. In 11th Europ. Sump. Algorithms, pages 568-579, 2003.
7. S. Brin and L. Page. The anatomy of a large-scale hypertextual web search engine. Comput. Netw. ISDN Syst., 30(1-7):107-117, 1998.
8. H. Cao, D. Jiang, J. Pei, Q. He, Z. Liao, E. Chen, and H. Li. Context-aware query suggestion by mining click-through and session data. In KDD '08, pages 875-883, New York, NY, USA, 2008. ACM.
9. M. J. Carman, M. Baillie, R. Gwadera, and F. Crestani. A statistical comparison of tag and query logs. In SIGIR '09: Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval, pages 123-130, New York, NY, USA, 2009. ACM.
10. X. Q. Cheng and H. W. Shen. Uncovering the community structure associated with the diffusion dynamics on networks. Journal of Statistical Mechanics, page P04024, 2010.
11. K. W. Church and B. Thiesson. The wild thing goes local. In SIGIR '07, pages 901-901, New York, NY, USA, 2007. ACM.
12. N. Craswell and M. Szummer. Random walks on the click graph. In SIGIR '07, pages 239-246, New York, NY, USA, 2007. ACM.
13. B. Cronin. Assessing user needs. Aslib Proceedings, 33(2):37-47, 1981.
14. H. Cui, J.-R. Wen, J.-Y. Nie, and W.-Y. Ma. Query expansion by mining user logs. IEEE Trans. on Knowl. and Data Eng., 15(4):829-839, 2003.
15. P. G. Doyle and L. J. Snell. Random Walks and Electric Networks. Math. Ass. of America, 1984.
16. A. Fuxman, P. Tsaparas, K. Achan, and R. Agrawal. Using the wisdom of the crowds for keyword generation. In WWW '08, pages 61-70, New York, NY, USA, 2008. ACM.
17. R. Guimera and L. A. Nunes Amaral. Functional cartography of complex metabolic networks. Nature, 433(7028):895-900, February 2005.
18. J. Guo, G. Xu, H. Li, and X. Cheng. A unified and discriminative model for query refinement. In SIGIR '08, pages 379-386, New York, NY, USA, 2008. ACM.
19. G. Jeh and J. Widom. Scaling personalized web search. In WWW '03, pages 271-279, New York, NY, USA, 2003. ACM.
20. R. Jones, B. Rey, O. Madani, and W. Greiner. Generating query substitutions. In WWW '06, pages 387-396, New York, NY, USA, 2006. ACM.
21. M. S. Khan and S. Khor. Enhanced web document retrieval using automatic query expansion. J. Am. Soc. Inf. Sci. Technol, 55(1):29-40, 2004.
22. R. Kraft and J. Zien. Mining anchor text for query refinement. In WWW '04, pages 666-674, New York, NY, USA, 2004. ACM.
23. M. Li, Y. Zhang, M. Zhu, and M. Zhou. Exploring distributional similarity based models for query spelling correction. In ACL-44, pages 1025-1032, Morristown, NJ, USA, 2006. Association for Computational Linguistics.
24. H. Ma, H. Yang, I. King, and M. R. Lyu. Learning latent semantic relations from clickthrough data for query suggestion. In GIKM '08, pages 709-718, New York, NY, USA, 2008. ACM.
25. Q. Mei, D. Zhou, and K. Church. Query suggestion using hitting time. In GIKM '08, pages 469-478, New York, NY, USA, 2008. ACM.
26. M. E. J. Newman and M. Girvan. Finding and evaluating community structure in networks. Physical Review E, 69:026113, 2004.
27. H. W. Shen, X. Q. Cheng, K. Cai, and M. B. Hu. Detect overlapping and hierarchical community structure in networks. Physica A, 388(8): 1706 - 1712, 2009.
28. J.-R. Wen, J.-Y. Nie, and H.-J. Zhang. Clustering user queries of a search engine. In WWW '01, pages 162-168, New York, NY, USA, 2001. ACM.
29. J. Xu and W. B. Croft. Query expansion using local and global document analysis. In SIGIR '96, pages 4-11, New York, NY, USA, 1996. ACM.